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Mistral AI

Open-weight LLMs and enterprise AI deployment

Software Engineer - Backend

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listedHybrid

About the Job

Requirements

  • A degree in Computer Science, Software Engineering, or equivalent practical experience.
  • Proficiency in Python or another backend language, such as Golang, Kotlin, or C#; candidates are assessed in their preferred language during a live coding session.
  • Strong understanding of backend fundamentals, including APIs, databases, caching, messaging systems, and distributed architectures.
  • Ability to ship end-to-end features with minimal oversight.
  • Problem-solving abilities and attention to detail.
  • Communication skills and a collaborative approach.

Responsibilities

  • Design, develop, and maintain scalable, robust backend features and APIs using modern frameworks.
  • Ensure high performance and reliability across distributed systems.
  • Contribute to systems powering inference, billing, AI tooling, observability, and developer experience.
  • Design and implement efficient, secure, and scalable architectures for the products.
  • Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
  • Write clean, maintainable, and well-documented code.
  • Participate in code reviews and contribute to technical standards and best practices.
  • Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users.
  • Partner with teams across AI Studio, Le Chat, and Mistral Code to ensure a consistent platform-wide experience.
  • Address engineering challenges involving distributed systems and AI product integration.
  • Stay current with technologies such as AI/LLM integration, observability, and backend frameworks, and bring relevant technologies into production.

Desired Qualifications

  • Full-stack exposure.
  • Experience working closely with an API and developer ecosystem.
  • Experience deploying software to cloud, on-premises, or other diverse environments.
  • Experience managing infrastructure with Docker, CI/CD, Kubernetes, Helm, or Terraform.
  • AI/ML engineering experience.
  • Experience with observability and monitoring tools such as Prometheus, Grafana, or Datadog.
  • A UX and product-centric mindset.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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